| Along with the rapid development of mobile network and communication technology, and continuous growth of mobile users’number, various business applications in mobile environment have become widely and pervasively. Consequently, the data and information show exponential increasement under mobile applications environment, which bring about the new technology requirements to store and management the massive data and information. For these reasons, the mobile environment oriented data storage and management questions will become more and more important.Nowadays distributed management methods of wired network mainly points for the stable environment with width stability, continuous services, and scalability and high performance nodes. The methods will not be adaptable for the mobile data management complexity of mobile environments with heterogeneity, distributed, high dimensions, dynamicity and movability, and so they doesn’t be directly applied into data management in mobile environment. For the multi-sources, multi-sinks, self-control, context aware and environment dependability, and the centralization and distribution coexistence of mobile environment oriented data storage management, there are many technologies which may be combined with to construct mobile environment storage management and service system by mobile agent, mobile database, distributed network, cross layer cooperation, grid computing, cloud computing and etc. Furthermore, along with the internetwork and convergence technology becoming adult, mobile environmental devices may be cooperated with grid computing and cloud computing system to construct massive, persistent, boundless scalable storage resources and service system, which will bring about huge market prospect, and good data storage management methods will provide high efficient, secure data storage foundation. Consequently, mobile environment oriented data storage management methods will show important theoretical and practical meanings.The dissertation makes systematical and deepen researches on the key technologies of mobile grid architecture and resource selection, mobile environment oriented distributed data storage service structure model, mobile database technology, hierarchical storage system based on wireless mesh network, QoS of storage service under mobile environment and etc., and makes several creative research achievements, and the main research work and creative achievements of the dissertation lie in the following aspects.1. A mobile grid architecture model of mobile environment (MGAM, Mobile Grid Architecture Model) and mobile grid resources management algorithm (MGRMA, Mobile Grid Resource Management Algorithm) are proposed. Firstly, the dissertation presents a mobile grid architecture model combined with mobile computing and grid computing, supported mobile environment storage services. Secondly, logic components and formal model of mobile grid are analyzed and mobile grid resource selection and assignment method and mobile grid resources cooperation algorithms are proposed. At last, the prototype of the mobile grid and application examples are given, including mobile grid prototype and performance analyses and simulation test.2. A self-adaptive distributed storage service architecture based on mobile environment (SDSSAM, Self-Adaptive Distributed Storage Service Architecture Model) is proposed. SDSSAM is a cross-layer collaborative model combined with mobile computing. At first, every layer function of SDSSAM is described. Second, collaboration mode of cross-layer is illustrated. At last, distributed storage cooperation service and self-adaptive storage algorithm on SDSSAM are given out. Research shows that SDSSAM has self-adaptive, mobile computing, distributed computing and self-organized characteristics, and it is a kind of mobile storage system architecture with advance flexibility, self-control, collaborative and swarm intelligence.3. Mobile data management architecture based on mobile database (MDMA, Mobile Data Management Architecture) and storage management solution (SMS, Storage Management Solution) are proposed. Mobile database is the most efficient mode for mobile distributed environment data organization and storage, which will provide data foundation of mobile business operations, because mobile applications are implemented based on mobile databases. Aiming at the characteristics of mobile environment, mobile data management architecture and storage management solution are proposed, and the pre-fetch and replication, cache synchronization, transaction process, concurrence control, broadcast mechanism and other key technologies are discussed. These will provide available and conventional runtime methods for the data storage and management under mobile environment.4. A model of hierarchical storage system based on wireless mesh network (HSSWMN, Hierarchical Storage System over Wireless Mesh Network) is proposed. Firstly, the dissertation proposes the hierarchical storage system model based on wireless mesh network (HSSWMN), and the storage model, access algorithms and performance optimization methods are analyzed and researched. Secondly, name space and metadata service, search and looking for service, registration and logout, scalability, load balance, fault tolerant, data safety, replication and cache mechanism, topology reconstruction of HSSWMN are researched. At last, by the simulation analysis, simulation testing discloses that the delay, throughput, error code and etc, performance analysis is carried for the feasibility, availability and reliability of HSSWMN storage system.5. A QoS cross layer model of storage service of mobile environment oriented (QCLMSS, QoS Cross Layer Model of Storage Services), and QoS guarantee algorithm of storage service (QASS, QoS Guarantee Algorithms of Storage Service) are proposed. The dissertation first does research on the QoS technologies of mobile environment storage service, analyzes the properties and relations between layers. Secondly, the QoS guarantee algorithms and performance model are proposed, and researches are done on QoS guarantee algorithms. At last, Global optimization, local optimization, mluti-state optimization, and self-adaptive optimization algorithms are proposed, and analysis and comparation of the mobile storage system QoS examples are analyzed, simulation test and analysis research is taken on disk I/O performance of wired network and wireless network access mode. |
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